Image Synchronization for Multi-Angle Sports Viewing
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Solution Overview
Problem
In sports competitions like races, it is challenging to visually compare the motion of multiple participants simultaneously, as existing technologies struggle to effectively combine and synchronize images from different angles, limiting the ability to grasp the overall performance and individual player dynamics.
Innovation Solution
An information processing apparatus that combines and synchronizes images from multiple imaging devices, including a content generation unit to create display content by overlaying text and image information, allowing for simultaneous viewing of entire race and individual player perspectives, with authentication and disclosure range management for secure content distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple imaging devices are used to capture images of multiple subjects, then the ability to view individual player performance is improved, but the complexity of synchronizing and combining images from different angles increases
Solution Approach 1:
The system divides the competition scene into multiple image streams from different imaging devices, each capturing specific subjects or angles. The content generation unit segments these images and combines them into a single composite image that displays both overall competition progress and individual player performance simultaneously, resolving the contradiction by organizing complex multi-source data into a structured segmented layout.
Solution Approach 2:
The system merges multiple images captured from different angles and by different imaging devices into a single composite image. This combining process integrates overall competition view with individual player close-ups, allowing viewers to grasp both macro and micro aspects of the competition without needing to switch between multiple devices or sources.
2Adaptability or versatility
If images from different angles are captured simultaneously, then the comprehensive view of competition is improved, but the difficulty of synchronizing temporal relationships between images increases
Solution Approach 1:
The system performs preliminary actions by capturing images with embedded timing information from multiple imaging devices before combination. The synchronization processing unit uses this pre-captured timing data to align images temporally, ensuring that events in the composite image reflect accurate temporal relationships without requiring complex real-time synchronization during image combination.
3Loss of information
If detailed information about each player is provided, then the understanding of individual performance is improved, but the amount of information to be processed and transmitted increases
Solution Approach 1:
The system applies local quality by selectively providing detailed information only for players or regions of interest within the composite image. Rather than uniformly processing and transmitting detailed data for all subjects, the content generation unit focuses computational and transmission resources on specific areas or players that require detailed analysis, reducing overall data volume while maintaining essential information quality.
Data Source
AI summary
For example, in a competition, such as a race competition, in which comparison with others is important, there is a demand for viewing a relationship between a motion of the entire competition and a motion of each player at once. For this purpose, an information processing apparatus includes: a content generation unit that generates display content by combining a first image captured by a first imaging device and a second image captured by the first imaging device or another imaging device and having a part of subjects in the first image as a subject.